Citation: Yunxin Li, Jinghui Zhang, Jisen Chen, Feng Zhu, Zhiqiang Liu, Peng Bao, Wei Shen, Sheng Tang. Detection of SARS-CoV-2 based on artificial intelligence-assisted smartphone: A review[J]. Chinese Chemical Letters, ;2024, 35(7): 109220. doi: 10.1016/j.cclet.2023.109220 shu

Detection of SARS-CoV-2 based on artificial intelligence-assisted smartphone: A review

Yunxin Li ^a ,
Jinghui Zhang ^{a, *,} ,
Jisen Chen ^a ,
Feng Zhu ^{b, *,} ,
Zhiqiang Liu ^a ,
Peng Bao ^a ,
Wei Shen ^a ,
Sheng Tang ^{a, *,}

a.
School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China
b.
Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore

jinghui_zhang@just.edu.cn

feng.zhu@dukenus.edu.sg

tangsheng.nju@gmail.com

Received Date: 15 June 2023
Revised Date: 25 September 2023
Accepted Date: 18 October 2023
Available Online: 20 October 2023

Figures(5)

In recent years, the application of smartphone in various fields has received great attention, and it has become a promising tool in virus detection, data processing and data exchange. During the rapid spread of COVID-19 around the world, many traditional detection methods have been combined with smartphone to assist in the analysis and detection of the novel coronavirus (SARS-CoV-2), including electrochemistry, fluorescence and colorimetry. With the gradual development of artificial intelligence (AI), the combination of AI and smartphone to analyze SARS-CoV-2 was also the focus of research. Based on the summary of the traditional methods combined with smartphone to detect SARS-CoV-2 virus, in addition to AI-based data processing, AI algorithms are also employed for SARS-CoV-2 detection itself. This review discussed both strategies and focused on the application of the former. The combination of AI algorithm and smartphone to detect SARS-CoV-2 has high accuracy, which is more conducive to meeting the needs of portable detection. In addition, the classification of SARS-CoV-2 virus samples in biological fluids such as blood and saliva was also discussed. Finally, this paper briefly discussed the limitations of using smartphone analysis to detect SARS-CoV-2, as well as the prospect and future development of virus detection. In conclusion, the detection methods based on smartphone and AI algorithms show great potential in the detection of SARS-CoV-2 and can be a valuable complement to traditional analysis methods.
- COVID-19,
- SARS-CoV-2 virus,
- Detection method,
- Smartphone analysis,
- Artificial intelligence
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沈阳化工大学材料科学与工程学院沈阳 110142